Leo Lahti
Associate Professor


leo.lahti@utu.fi

+358 29 450 2390

+358 50 436 4626



Agora

Office: 452E


ORCID identifier: https://orcid.org/0000-0001-5537-637X

Research homepage




Areas of expertise
Data science; AI; Machine Learning; Applied statistics; Statistical programming; Probabilistic models; Complex natural and social systems; Microbial ecology; Computational humanities; Open knowledge

Biography

Leo Lahti is associate professor in Data Science in University of Turku, Finland. His research team focuses on algorithmic techniques that bridge the gap between the theory and practice of modern scientific data analysis. The applications range from human microbiome research to computational history and open government data analytics. Lahti obtained doctoral degree (DSc) in statistical machine learning and bioinformatics from Aalto University in Finland (2010), developing probabilistic data integration methods for high-throughput life science data. This was followed by subsequent postdoctoral research at EBI/Hinxton (UK), Wageningen University (NL), and VIB/KU Leuven (BE). Lahti has coordinated international networks in data science methods and applications, including e.g. the COST action on statistical and machine learning methods in microbiome studies, and organizes international training events on a regular basis. He is a founder of the open science work group of Open Knowledge Finland ry. For more information, see the research homepage iki.fi/Leo.Lahti



Research

Computational scientist focusing on change in complex natural and social systems, and how they can be understood through a computational lens.



Teaching

Computational and data science, statistical and probabilistic programming, machine learning, AI, applied statistics, ecological models, open science



Publications
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Last updated on 2021-09-09 at 17:35